Malware Insights
The PDF contains embedded links that redirect to malicious infrastructure, specifically identified by the 'PDF_MALICIOUS_REDIRECTOR_LINK' heuristic. The document body, though heavily obfuscated, contains text related to 'data structures and algorithms' and the URL 'https://ttraff.com/pify?keyword=data+structures+and+algorithms+in+python+michael+t.+goodrich+pdf' which is a clear indicator of a lure. The ML classifier also strongly flagged this PDF as malicious. The presence of numerous links to external PDFs, many hosted on Shopify, suggests a link farm or SEO poisoning tactic to distribute the malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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Embedded URL info EMBEDDED_URLOne or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.URL https://ttraff.com/pify?keyword=data+structures+and+algorithms+in+python+michael+t.+goodrich+pdf
- http://nopef.kirstinsimpson.com/uploads/1/3/1/3/131383483/lavilaxon.pdf
- http://files.homesweethome.com.sg/uploads/1/3/2/8/132814182/funatigiwaf-zazolisozururun.pdf
- http://files.militarymovieprops.com/uploads/1/3/1/4/131407958/c35cdb830df77.pdf
- http://files.melanatedmama.com/uploads/1/3/1/3/131379639/e64623b1b68af0d.pdf
- https://cdn.shopify.com/s/files/1/0428/0041/4883/files/82200221695.pdf
- https://cdn.shopify.com/s/files/1/0433/0507/4838/files/74214877347.pdf
- https://cdn.shopify.com/s/files/1/0430/0151/2090/files/jizokoma.pdf
- https://cdn.shopify.com/s/files/1/0433/3636/8283/files/97699125541.pdf
- https://cdn.shopify.com/s/files/1/0436/0732/6882/files/84868349271.pdf
- https://cdn.shopify.com/s/files/1/0436/0133/0339/files/46296737294.pdf
- https://cdn.shopify.com/s/files/1/0427/7341/4055/files/dibusefado.pdf
- https://cdn.shopify.com/s/files/1/0436/2888/8227/files/bspp_thread_standard.pdf
- https://cdn.shopify.com/s/files/1/0430/6819/4978/files/kumagulesaka.pdf
- https://cdn.shopify.com/s/files/1/0433/1434/8197/files/76527813088.pdf
- https://cdn.shopify.com/s/files/1/0435/0358/3384/files/mexas.pdf
- https://cdn.shopify.com/s/files/1/0433/3492/6495/files/96292499603.pdf
- https://cdn.shopify.com/s/files/1/0435/2576/7320/files/spicules_of_sponges.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000656b.bin79c1191108cfee592ec25f72d62210ec23261cea1d45cad821f94b3239501399 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x656B | 5584 bytes |
font_01_sfnt_off00007848.bin171d678824b9cf6d58b8745a3f09d93efc04e97da76b0bb9bf5df76d55e3a978 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7848 | 10428 bytes |
font_02_sfnt_off00009bc2.bind1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9BC2 | 4324 bytes |
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